quota sampling
C1Formal, Technical, Academic
Definition
Meaning
A non-probability sampling method where researchers gather data from a subset of the population that is predetermined to have certain characteristics, in proportions that reflect their frequency in the target population.
A sampling technique used primarily in market research and opinion polling. Unlike random sampling, it does not give every member of the population an equal chance of selection. Instead, the interviewer or researcher is given quotas of individuals with specific characteristics (e.g., age, gender, income) to find and interview. The process continues until the quotas are filled.
Linguistics
Semantic Notes
In research methodology, it is contrasted with 'probability sampling' (like random sampling). It is often chosen for its speed, cost-effectiveness, and practicality, but carries a higher risk of selection bias, meaning the sample may not be fully representative of the population.
Dialectal Variation
British vs American Usage
Differences
No significant differences in meaning or usage. The term is used identically in academic and professional contexts in both varieties.
Connotations
Neutral, technical term in both. May carry a slight negative connotation in rigorous scientific contexts where representativeness is paramount, as it is considered less robust than probability-based methods.
Frequency
Equally frequent in relevant fields (statistics, social science, market research) in both the UK and US.
Vocabulary
Collocations
Grammar
Valency Patterns
[Verb] + quota sampling: use, employ, conduct, perform, adopt.quota sampling + [of + Noun Phrase]: quota sampling of voters, quota sampling of consumers.quota sampling + [based on + Noun Phrase]: quota sampling based on age and gender.quota sampling + [for + Noun Phrase/Gerund]: quota sampling for the poll, quota sampling for identifying trends.Vocabulary
Synonyms
Strong
Neutral
Weak
Vocabulary
Antonyms
Phrases
Idioms & Phrases
- “None. This is a technical compound noun.”
Usage
Context Usage
Business
Common in market research. 'We used quota sampling to get quick feedback from 200 customers, split evenly between our new and legacy product users.'
Academic
Frequent in social science and statistics papers, often discussed critically. 'The study's reliance on quota sampling limits the generalisability of its findings.'
Everyday
Very rare. Would only appear in news articles about polling methods. 'The poll, which used quota sampling, suggested a close race.'
Technical
Core term in research methodology and statistics. 'Quota sampling involves the selection of a sample that reflects the characteristics of the whole population.'
Examples
By Part of Speech
verb
British English
- The firm decided to **quota-sample** the population for the preliminary study, focusing on three key regions.
- They are **quota-sampling** attendees at the conference to gauge professional opinion.
American English
- The research team chose to **quota-sample** based on income brackets and zip codes.
- We **quota-sampled** 500 respondents for the political survey.
adverb
British English
- Participants were recruited **quota-sampled** to ensure demographic balance.
- (Usage as an adverb is highly unconventional and not recommended.)
American English
- The survey was conducted **using a quota-sampling method**.
- (Usage as an adverb is highly unconventional and not recommended.)
adjective
British English
- The **quota-sampled** data provided a useful, if not definitive, snapshot.
- They employed a **quota-sampling** methodology for speed.
American English
- The report was based on **quota-sampled** interviews.
- A **quota-sampling** approach was deemed most practical for the street survey.
Examples
By CEFR Level
- The company did a survey using quota sampling to talk to equal numbers of men and women.
- Quota sampling is a way to choose people for a study based on things like their job or age.
- Unlike random surveys, quota sampling allows researchers to deliberately select participants who meet specific demographic criteria.
- The main advantage of quota sampling is that it is less expensive and quicker to administer than probability-based methods.
- Critics argue that despite its efficiency, quota sampling introduces a significant risk of interviewer bias, as the choice of which specific individuals to fill the quotas is often subjective.
- The research design employed a stratified quota sampling technique to ensure representation across all socioeconomic strata within the urban population.
Learning
Memory Aids
Mnemonic
Think of a **quota** like a target number for different groups (e.g., 50 men, 50 women). **Sampling** is collecting data from people. Quota sampling means you must fill your 'quotas' of people with specific traits to complete your sample.
Conceptual Metaphor
ASSEMBLING A REPRESENTATIVE PICTURE MOSAIC: You are given a specific number of each coloured tile (quota) needed to create a small picture that aims to look like the bigger one.
Watch out
Common Pitfalls
Translation Traps (for Russian speakers)
- Avoid direct translation that implies 'share' or 'norm' sampling ('нормативная выборка'). The established term is 'квотная выборка'.
- Do not confuse with 'выборка по квотам', which is a calque but less standard.
Common Mistakes
- Using 'quota sampling' interchangeably with 'random sampling'. They are opposites in methodology.
- Spelling error: 'quote sampling'.
- Incorrectly assuming results from quota sampling are statistically projectable to the whole population without significant caveats.
Practice
Quiz
What is the primary methodological distinction of quota sampling?
FAQ
Frequently Asked Questions
No, they are fundamentally different. Random sampling (a probability method) gives every individual a known, non-zero chance of selection. Quota sampling (a non-probability method) selects individuals based on pre-set quotas for specific characteristics, and not all individuals have a chance to be chosen.
It is commonly used in market research, opinion polling, and exploratory research where speed, cost, and practicality are higher priorities than statistical rigor and precise generalizability to the whole population.
Its main disadvantage is selection bias. Because the final choice of participants within the quota groups is often left to the interviewer's discretion, the sample may not be representative, and the results cannot be used to make reliable statistical inferences about the broader population.
Generalisation from a quota sample is risky and not statistically valid in the same way as from a probability sample. Findings can suggest trends or provide initial insights, but they should not be presented as precisely projectable to the entire population without strong caveats.